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About.html
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<!DOCTYPE HTML>
<!--
Landed by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Nilay Vora | Portfolio</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<link rel="icon" href="./images/Identity.png" type="image/png"/>
<noscript><link rel="stylesheet" href="assets/css/noscript.css" /></noscript>
</head>
<body class="is-preload" style= background-color:white;>
<div id="page-wrapper">
<!-- Header -->
<header id="header">
<img src="images/Logo.png" alt="logo" />
<h1 id="logo"><a href="index.html">Nilay Vora</a></h1>
<nav id="nav">
<ul>
<li><a href="index.html">Home</a></li>
<li><a href="About.html">About Me</a></li>
<li>
<a href="#">Projects</a>
<ul>
<li><a href="#">Research</a>
<ul>
<li><a href="CTCC.html">ML Label-Free Flow Cytometry</a></li>
<li><a href="Denoising2PImages.html">DL Denoising Two-Photon Microscopy Images</a></li>
</ul>
</li>
<li><a href="#">Outreach</a>
<ul>
<li><a href="TOJC.html">Tufts Optics Journal Club</a></li>
</ul>
</li>
</ul>
</li>
<li><a href="Experience.html">Experience</a></li>
<li><a href="mailto:[email protected]" class="button primary">Contact Me</a></li>
</ul>
</nav>
</header>
<!-- Main -->
<div id="main" class="wrapper style1">
<div class="container">
<header class="major">
<h2 style="color:black">About Me</h2>
</header>
<img class="super" src="images/BME_brochure2.png">
<section>
<p style="color:black">I am recent Ph.D. graduate from the <a href="https://engineering.tufts.edu/graduate/bme-highlight">Tufts University</a>
Biomedical Engineering department. I previously recieved my Bachelors of Science in Biomedical Engineering
from Rutgers University in 2018. Along the way, I have interned at Colgate-Palmolive from 2017-2018 under Dr. Hrebesh Subhash,
designing a smart toothbrush using support vector machines to classify positional data from IMU sensors. <br><br>
Since 2018, I have been working towards completing a Ph.D. in Biomedical Engineering
under the direction of Professor Irene Georgakoudi. My dissertation has
focused on application of machine learning to denoise low-SNR biomedical time-series
and image datasets. <br><br>
At Tufts University, I have worked on label-free detection of rare
circulating tumor cell clusters in whole blood using machine learning-based classification algorithms and
denoising low-SNR clinical biopsy images for cervical pre-cancer detection which will be used to improve
image acquisition speeds in an upcoming clinical trial! <br><br>
<b style="color:black">My interest lies in the application of ML and DL for image super-resolution and denoising</b>.
I am fascinated by the various uses of ML for solving everyday problems that can benefit
others both in the biomedical space and human connection space. <b style="color:black">I thrive on developing
and sharing innovative methods to solve complex problems which can benefit others in long-term.
</b><br><br>
If you would like to connect and learn more about my work, feel free to reach out to me on <a href="https://linkedin.com/in/nilayvora">LinkedIn</a>!
</p>
</section>
</div>
</div>
<!-- Footer -->
<footer id="footer">
<ul class="icons">
<li><a href="https://www.linkedin.com/in/nilayvora/" class="icon brands alt fa-linkedin-in"><span class="label">LinkedIn</span></a></li>
<li><a href="https://github.com/nilayvphd" class="icon brands alt fa-github"><span class="label">GitHub</span></a></li>
<li><a href="https://gitlab.tufts.edu/nvora01" class="icon brands alt fa-gitlab"><span class="label">GitLab</span></a></li>
<li><a href="https://scholar.google.com/citations?user=WOHFGOQAAAAJ&hl=en&oi=ao" class="icon brands alt fa-google"><span class="label">Google Scholar</span></a></li>
<li><a href="mailto:[email protected]" class="icon solid alt fa-envelope"><span class="label">Email</span></a></li>
</ul>
<ul class="copyright">
<li>© Nilay Vora. All rights reserved.</li><li>Design: <a href="http://html5up.net">HTML5 UP</a></li>
</ul>
</footer>
</div>
<!-- Scripts -->
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<script src="assets/js/jquery.scrolly.min.js"></script>
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</body>
</html>